Decomposing alpha and 1/f brain activities reveals their differential associations with cognitive processing speed

Research in cognitive neuroscience has extensively demonstrated that the temporal dynamics of brain activity are associated with cognitive functioning. The temporal dynamics mainly include oscillatory and 1/f noise-like, non-oscillatory brain activities that coexist in many forms of brain activity a...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:NeuroImage (Orlando, Fla.) Ročník 205; s. 116304
Hlavní autoři: Ouyang, Guang, Hildebrandt, Andrea, Schmitz, Florian, Herrmann, Christoph S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 15.01.2020
Elsevier Limited
Elsevier
Témata:
1/f power law pattern
Adolescent
Adult
Alpha oscillation
Alpha Rhythm - physiology
Brain research
Cerebral Cortex - physiology
Cognition & reasoning
Cognitive ability
Cognitive processing speed
EEG
Electrodes
Electroencephalography
Female
Fourier transforms
Functional Neuroimaging
Humans
Information processing
Male
Nerve Net - physiology
Nervous system
Noise
Oscillations
Pattern Recognition, Visual - physiology
Psychomotor Performance - physiology
Reaction Time - physiology
Recognition, Psychology - physiology
Signal processing
Spectrum analysis
Studies
Time series
Young Adult
Hong Kong China
China
Alpha oscillation
1/f power law pattern
Cognitive processing speed
EEG
ISSN:1053-8119, 1095-9572, 1095-9572
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Research in cognitive neuroscience has extensively demonstrated that the temporal dynamics of brain activity are associated with cognitive functioning. The temporal dynamics mainly include oscillatory and 1/f noise-like, non-oscillatory brain activities that coexist in many forms of brain activity and confound each other’s variability. As such, observed functional associations of narrowband oscillations might have been confounded with the broadband 1/f component. Here, we investigated the relationship between resting-state EEG activity and the efficiency of cognitive functioning in N = 180 individuals. We show that 1/f brain activity plays an essential role in accounting for between-person variability in cognitive speed – a relationship that can be mistaken as originating from brain oscillations using conventional power spectrum analysis. At first glance, the power of alpha oscillations appeared to be predictive of cognitive speed. However, when dissociating pure alpha oscillations from 1/f brain activity, only the 1/f predicted cognitive speed, whereas the predictive power of alpha vanished. With this highly powered study, we disambiguate the functional relevance of the 1/f power law pattern in resting state neural activities and substantiate the necessity of isolating the 1/f component from oscillatory activities when studying the functional relevance of spontaneous brain activities. •The mixture of brain oscillation and 1/f noise obscures their functional roles.•Structural equation modelling was applied to decompose 1/f and alpha oscillation.•Parametric curve fitting was also applied to decompose 1/f and alpha oscillation.•Decomposition of 1/f and alpha reveals their differential functional associations.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2019.116304